Results 221 to 230 of about 207,862 (335)

CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning

open access: yesAdvanced Science, EarlyView.
CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang   +13 more
wiley   +1 more source

Glucose Deprivation‐Induced Disulfidptosis via the SLC7A11‐INF2 Axis: Pan‐Cancer Prognostic Exploration and Therapeutic Validation

open access: yesAdvanced Science, EarlyView.
Glucose deprivation or GLUT1 inhibition induces disulfidptosis in SLC7A11high ovarian cancer cells by promoting cystine accumulation, NADPH/ATP depletion, and F‐actin disulfide formation. SLC7A11 interacts with INF2 to further increase H₂O₂ levels and impair mitochondrial fission, suppressing cell migration. Targeting the SLC7A11–INF2 axis represents a
Zhenyu Song   +9 more
wiley   +1 more source

Unraveling the Role of MDK‐SDC4 Interaction in Pancreatic Cancer‐Associated New‐Onset Diabetes by Single‐Cell Transcriptomic Analysis

open access: yesAdvanced Science, EarlyView.
Midkine (MDK) is a mediator of the interaction between pancreatic cancer and beta cells. MDK, which originated from pancreatic ductal adenocarcinoma cells, exerted deleterious effects on paraneoplastic beta cells by binding to the SDC4 receptor on the beta cell surface and subsequently downregulating the Ras signaling pathway, thereby impairing insulin
Zengyu Feng   +7 more
wiley   +1 more source

Specific Inhibition of Cyclooxygenase 2 Restores Antitumor Reactivity by Altering the Balance of IL-10 and IL-12 Synthesis [PDF]

open access: bronze, 2000
Marina Stolina   +11 more
openalex   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao   +14 more
wiley   +1 more source

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